Scatter3d plot

The scatter3d plot creates a three-dimensional scatter plot of the data.

import plopp as pp
import scipp as sc
import numpy as np

Scatter plot using a positions vector

The easiest way to generate a scatter plot is to use a coordinate of the data array that contains data of the vector3 dtype.

We first generate some fake data, meant to represent clusters of points in a three-dimensional space.

nclusters = 100
npercluster = 1000

position = np.zeros((nclusters, npercluster, 3))
values = np.zeros((nclusters, npercluster))

for n in range(nclusters):
    center = 500.0 * (np.random.random(3) - 0.5)
    r = 20.0 * np.random.normal(size=[npercluster, 3])
    position[n, :] = r + center
    values[n, :] = np.linalg.norm(r, axis=1) + n

da = sc.DataArray(
    data=sc.array(dims=['row'], values=values.flatten(), unit='K'),
    coords={
        'position': sc.vectors(
            dims=['row'], unit='m', values=position.reshape(nclusters * npercluster, 3)
        )
    },
)
da

scipp.DataArray (3.05 MB)

• Dimensions:
  • row: 100000
• Coordinates: (1)
  • position
    (row)
    vector3
    m
    [ -16.74135067 -188.12056179 -32.76375867], [ -52.65398174 -182.54806198 -93.87922006], ..., [-240.1528684 -38.0334395 -179.03587494], [-236.37264552 13.70327652 -117.61870302]

    Values:
    array([[ -16.74135067, -188.12056179,  -32.76375867],
           [ -52.65398174, -182.54806198,  -93.87922006],
           [ -15.16606557, -224.26898961,  -31.42662984],
           ...,
           [-214.56094981,   19.61559158, -143.2142371 ],
           [-240.1528684 ,  -38.0334395 , -179.03587494],
           [-236.37264552,   13.70327652, -117.61870302]], shape=(100000, 3))

• Data: (1)
  • (row)
    float64
    K
    49.745, 46.595, ..., 145.128, 137.333

    Values:
    array([ 49.74457703,  46.59514144,  44.40847174, ..., 127.07263384,
           145.1280956 , 137.33300056], shape=(100000,))

We then simply specify the name of the coordinate that contains the vector positions using the pos argument:

pp.scatter3d(da, pos='position', color='black', size=2)

Scatter plot with colorbar

To make a scatter plot with a colorbar mapping data values to colors, use cbar=True.

pp.scatter3d(da, pos='position', cbar=True, size=2)

Scatter plot using individual coordinates

It is also possible to create scatter plots using three individual coordinate names for the x, y, z dimensions:

time = np.linspace(0, 10, 50)
x = np.cos(time)
y = np.sin(time)

da = sc.DataArray(
    data=sc.array(dims=['row'], values=time),
    coords={
        'x': sc.array(dims=['row'], unit='m', values=x),
        'y': sc.array(dims=['row'], unit='m', values=y),
        'time': sc.array(dims=['row'], unit='s', values=time),
    },
)

pp.scatter3d(da, x='x', y='y', z='time', size=0.2, cbar=True)